Dispersed storage secure data decoding

ABSTRACT

A method operating on a computer begins by generating a read command to read at least some of a plurality of data slices from a dispersed storage network. The method continues by receiving the at least some of the plurality of data slices. The method continues by performing a reverse information dispersal algorithm on at least some of the plurality of data slices to produce a plurality of transposed data elements. The method continues by reverse transposing the plurality of transposed data elements to recover data elements of a data segment.

This patent application is claiming priority under 35 USC §120 as a continuation in part patent application of co-pending patent application entitled EFFICIENT AND SECURE DATA STORAGE UTILIZING A DISPERSED DATA STORAGE SYSTEM, having a filing date of Apr. 20, 2009, and a Ser. No. of 12/426,727.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

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INCORPORATION-BY-REFERENCE OF MATERIAL SUBMITTED ON A COMPACT DISC

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BACKGROUND OF THE INVENTION

1. Technical Field of the Invention

The present invention relates generally to systems, apparatus, and methods for securely storing data, and more particularly to systems, apparatus, and methods for secure distributed data storage using an information dispersal algorithm so that no one location will store an entire copy of stored data.

2. Description of Related Art

Storing data in digital form is a well-known problem associated with all computer systems, and numerous solutions to this problem are known in the art. The simplest solution involves merely storing digital data in a single location, such as a punch film, hard drive, or FLASH memory device. However, storage of data in a single location is inherently unreliable. The device storing the data can malfunction or be destroyed through natural disasters, such as a flood, or through a malicious act, such as arson. In addition, digital data is generally stored in a usable file, such as a document that can be opened with the appropriate word processing software, or a financial ledger that can be opened with the appropriate spreadsheet software. Storing an entire usable file in a single location is also inherently insecure as a malicious hacker only need compromise that one location to obtain access to the usable file.

To address reliability concerns, digital data is often “backed-up,” i.e., an additional copy of the digital data is made and maintained in a separate physical location. For example, a backup tape of all network drives may be made by a small office and maintained at the home of a trusted employee. When a backup of digital data exists, the destruction of either the original device holding the digital data or the backup will not compromise the digital data. However, the existence of the backup exacerbates the security problem, as a malicious hacker can choose between two locations from which to obtain the digital data. Further, the site where the backup is stored may be far less secure than the original location of the digital data, such as in the case when an employee stores the tape in her home.

Another method used to address reliability and performance concerns is the use of a Redundant Array of Independent Drives (“RAID”). RAID refers to a collection of data storage schemes that divide and replicate data among multiple storage units. Different configurations of RAID provide increased performance, improved reliability, or both increased performance and improved reliability. In certain configurations of RAID, when digital data is stored, it is split into multiple stripes, each of which is stored on a separate drive. Data striping is performed in an algorithmically certain way so that the data can be reconstructed. While certain RAID configurations can improve reliability, RAID does nothing to address security concerns associated with digital data storage.

One method that prior art solutions have addressed security concerns is through the use of encryption. Encrypted data is mathematically coded so that only users with access to a certain key can decrypt and use the data. While modern encryption methods are difficult to break, numerous instances of successful attacks are known, some of which have resulted in valuable data being compromised. Furthermore, if a malicious hacker should gain access to the encryption key associated with the encrypted data, the entirety of the data is recoverable.

While modern encryption tends to utilize block ciphers, such as, for example, 3-way, AES, Anubis, Blowfish, BMGL, CAST, CRYPTON, CS-Cipher, DEAL, DES, DESede, DESX, DFC, DFCv2, Diamond2, E2, FROG, GOST, HPC-1, HPC-2, ICE, IDEA, ISAAC, JEROBOAM, LEVIATHAN, LOKI91, LOKI97, MAGENTA, MARS, MDC, MISTY1, MISTY2, Noekeon, Noekeon Direct, Panama, Rainbow, RC2, RC4, RC4-drop, RC5, Rijndael, SAFER-K, SAFER-SK, SAFER+, SAFER++, SAFER++-64, Sapphire-II, Scream, Scream-F, SEAL-3.0, Serpent, SHARK, SKIPJACK, SNOW, SOBER, SPEED, Square, TEA, Twofish, WAKE-CFB, WiderWake4+1, WiderWake4+3, PBE-PKCS5, PBE-PKCS12, etc., other methods have been used in the past. One early form of encoding is transposition. Transposition involves the deterministic swapping of members within a set. For example, if a five member set X is defined as X={a,b,c,d,e}, a transposition function σ may be defined as follows:

-   σ(0)=a -   σ(1)=e -   σ(2)=c -   σ(3)=d -   σ(4)=b     Therefore, the application of the transposition function to the     entire set X would yield a new set X′={a, e, c, d, b}.

By transposing information transmitted in a message, the usability of the transposed information is reduced or eliminated. However, transposition schemes are easily broken by modern computers.

In 1979, two researchers independently developed a method for splitting data among multiple recipients called “secret sharing.” One of the characteristics of secret sharing is that a piece of data may be split among n recipients, but cannot be known unless at least t recipients share their data, where n≧t. For example, a trivial form of secret sharing can be implemented by assigning a single random byte to every recipient but one, who would receive the actual data byte after it had been bitwise exclusive orred with the random bytes. In other words, for a group of four recipients, three of the recipients would be given random bytes, and the fourth would be given a byte calculated by the following formula:

s′=s⊖r_(a)⊖r_(b)⊖r_(c),

where s is the original source data, r_(a), r_(b), and r_(c) are random bytes given to three of the four recipients, and s′ is the encoded byte given to the fourth recipient. The original byte s can be recovered by bitwise exclusive-orring all four bytes together.

A cryptosystem, such as secret sharing, is called information-theoretically secure if its security derives purely from information theory; meaning that its security can be proven even if an adversary has access to unlimited computing power. As a secret sharing scheme can guarantee that no usable information can be recovered unless an attacker gains access to a threshold number of shares, secret sharing is information-theoretically secure. However, each data share is of equal size as the original data, so secret sharing makes for an inefficient storage mechanism.

All-or-nothing encryption is a recent development in cryptography, with the property that the entire cyphertext must be decrypted before even a portion of the original data can be recovered. The original motivation behind all-or-nothing encryption was to increase the time required by brute force attacks to successfully compromise an encrypted cyphertext by a factor equal to the number of message blocks within the cyphertext. All-or-nothing encryption is described in “All-Or-Nothing Encryption and the Package Transform,” by Ronald L. Rivest, which is hereby incorporated by reference. Additional properties of all-or-nothing encryption are described in “Exposure-Resilient Functions and All-Or-Nothing Transforms,” by Ran Canetti, Yevgeniy Dodis, Shai Halevi, Eyal Kushilevitz, and Amit Sahai, as well as “On the Security Properties of OAEP as an All-or-nothing transform,” by Victor Boyko, both of which are hereby incorporated by reference.

Dispersed data storage systems involved utilizing an information dispersal algorithm to slice data Schemes for implementing dispersed data storage systems, such as dispersed data storage networks (“DDSNs”), are also known in the art. For example, U.S. Pat. No. 5,485,474, issued to Michael O. Rabin, describes a system for splitting a segment of digital information into n data slices, which are stored in separate devices. When the data segment must be retrieved, only m of the original data slices are required to reconstruct the data segment, where n>m.

Generally, dispersed data storage systems provide some level of security, as each data slice will contain less information than the original digital information. Furthermore, as each slice is stored on a separate computer, it will generally be harder for a malicious hacker to break into m computers and gather enough data slices to reconstruct the original information. However, depending on the information dispersal algorithm utilized, each data slice will contain up to 1/n part of the original data. Generally, the information will be retained in the data slice as it existed in the original digital information. Accordingly, by compromising a storage node, a malicious hacker could access up to 1/n part of the original data.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S)

FIG. 1 is a network diagram of a dispersed data storage system utilizing the disclosed security schemes;

FIG. 2 is an illustration of the principles of transposition as applied to a dispersed data storage system;

FIG. 3 is a flowchart illustrating the application of an all-or-nothing transformation to a data segment;

FIG. 4 is a flowchart illustrating the removal of an all-or-nothing transformation from a data segment;

FIG. 5 is a flow chart illustrating a write operation to a dispersed data system utilizing a columnar transposition cipher and an information dispersal algorithm;

FIG. 6 is a flow chart illustrating a read operation from a dispersed data storage system utilizing a columnar transposition cipher and an information dispersal algorithm;

FIG. 7 is a flow chart illustrating a write operation to a dispersed data storage system utilizing encryption, transposition, and an information dispersal algorithm;

FIG. 8 is a flow chart illustrating a read operation from a dispersed data storage system utilizing encryption, transposition, and an information dispersal algorithm;

FIG. 9 is a flow chart illustrating a write operation to a dispersed data storage system utilizing an all-or-nothing transformation and an information dispersal algorithm;

FIG. 10 is a flow chart illustrating a read operation from a dispersed data storage system utilizing an all-or-nothing transformation and an information dispersal algorithm;

FIG. 11 is a flow chart illustrating a write operation to a dispersed data storage system utilizing encryption, an all-or-nothing transformation, and an information dispersal algorithm; and

FIG. 12 is a flow chart illustrating a read operation from a dispersed data storage system utilizing encryption, an all-or-nothing transformation, and an information dispersal algorithm.

DETAILED DESCRIPTION OF THE INVENTION

Turning to the Figures, and to FIG. 1 in particular, a dispersed data storage system 100 is shown. An arbitrary number of storage nodes, such as slice servers 109 store data slices sent to them by source computers 111, 117. Storage nodes 109 may be networked slice servers as illustrated, or may merely be a collection of drives. In a networked implementation, some number of grid access computers 113 may serve access clients 117 in providing access to the storage nodes 109. Alternatively, the source computers may include the software required to access the storage nodes 109 directly, such as stand-alone client 111. All of the computers may be general purpose computers, comprised of, for example, a housing containing a processor, fast memory, such as dynamic RAM, one or more storage drives, such as rotating media drives or flash drives, a plurality of input/output ports, such as USB ports or Firewire ports, one or more network ports, such as Ethernet ports or 802.11 ports, as well as an external display, and one or more input/output devices, such as a keyboard for data entry, and a mouse or touchpad for cursor control. Alternatively, access computers and storage nodes may be thinner devices. For example, an access computer may be comprised of a housing containing a processor, fast memory, and one or more network ports. Further by way of example, a storage node could be comprised of a housing containing a processor, fast memory, one or more network ports, and one or more storage drives.

FIG. 2 presents an overview of a process to secure a data segment in accordance with an embodiment of the disclosed invention. A data segment 202 is comprised of 16 bytes of ASCII data expressing the phrase “Quick brown fox!” It should be noted that the type of encoding of the data, as well as the size of a data unit, is irrelevant to the invention. Therefore, Unicode instead of ASCII could be used to encode the phrase, and the size of a data unit could be set to word (16 bits), double word (32 bits), or any other size. Furthermore, a data segment could be 32 bytes, 48 bytes, etc.

Where a higher level of security is required, the data segment 202 can be encrypted using an appropriate block cipher, such as DES or AES. While the use of encryption will increase security for the data storage system, it will also increase processor load on computers accessing the storage system. Accordingly, the performance of the system will be lowered, as computers writing data to the dispersed data storage system will need to encrypt data prior to writing it out, and systems reading data will likewise need to decrypt data. For those systems where high performance is more important than high security, the system administrator can elect to disable encryption. In this case, a moderate level of security is still attained by the disclosed system through the use of transposition, as explained below.

Regardless of whether the data segment is encrypted or not, the data within the data segment is arranged in a matrix 206. The matrix 206 is sized so that (1) every element of the data segment is assigned to a particular matrix entry, and (2) the number of data slices created is a multiple of the number of data slices created per data segment. In the depicted example, which assumes that eight data slices are created per data segment, an 8×2 matrix is used to fit the 16 data unit data segment, with the data segment arranged sequentially along the columns.

The data is then dispersed into data slices 208-215, each containing one row of data. As depicted, each data slice 208-215 contains entirely non-consecutive data from the original data segment.

A variety of sizes of matrices can be used to achieve many of the advantages of the disclosed system. For example, for a 16 byte data segment being stored on a system that slices data into 4 data slices, a 4×4 matrix could be used; data could be arranged along either the rows or columns, with the other serving as the basis for the data slices. However, while such an arrangement would increase security for the stored information, as no consecutive data units would be stored in a single slice, the optimal increase in security is achieved by sizing the matrix so that one dimension of the matrix, rows or columns, is equal to the threshold of the dispersed data storage network. For example, in an eight slice system, where the data segment size is set to 16 bytes, an 8×2 matrix could be used as described above. In this case, if a malicious hacker should recover two consecutive slices, a minimal number of consecutive data units will be recovered, i.e., two strips of data, each two data units in length.

Persons of skill in the art will realize that the decision to arrange data along the columns of the matrix is an arbitrary decision. For example, a 2×8 matrix could be used, and data could be arranged along the rows, instead of the columns. The data slices would then be made from the columns.

FIG. 3 depicts a method for applying an all-or-nothing transformation to a data segment. In a first step 304, a symmetric encryption key is generated. In step 306, the data segment is encrypted using the generated encryption key. In step 308, the digest of the encrypted data is calculated, by applying a hashing algorithm to the data segment; suitable hashing algorithms include MD5, SHA-1, SHA-2, and any other secure cryptographic hashing algorithm. The digest is then XOR-ed with the encryption key in step 310, and the obfuscated encryption key is appended to the data segment in step 312. From this process, it is apparent that the encryption key generated in step 304 is not “secret information,” as it will be appended to the data with trivial protection.

FIG. 4 depicts a method for removing an all-or-nothing transformation from a data segment. In step 404, the digest of the encrypted data is calculated; note that the obfuscated digest placed at the end of the data segment in the method of FIG. 3 is not included in this calculation. In step 406, the obfuscated encryption key is read into a memory location, or otherwise obtained, and in step 408, the digest is XOR-ed with the obfuscated encryption key to obtain the plaintext encryption key. Finally, in step 410 data segment is decrypted with the encryption key.

FIG. 5 depicts the steps required to write data from an access computer or an integrated client to a dispersed data storage system in accordance with a first embodiment of the disclosed invention. In step 502 a write operation is initiated. The initiation of the write operation involves accepting a data string of arbitrary size, and then, if necessary, padding the string to the dispersed data storage system's data segment size. In step 504 a transposition cipher is applied to the data segment. While the transposition cipher is trivially reversible if a malicious hacker should gain access to a threshold number of slices, the compromise of a single slice will not yield any consecutive information. In step 506 an information dispersal algorithm is applied to the transposed data segment, and the data slices are then written to different storage nodes of the dispersed data storage system in step 508.

FIG. 6 depicts the steps required to read data from a dispersed data storage system in accordance with a first embodiment of the disclosed invention. In step 602 a read operation is initiated. In step 604, a threshold number of data slices are retrieved from the dispersed data storage system, where the threshold for a given dispersed data storage system is the minimum number of slices required to reconstruct a stored data segment. In step 406 a reverse information dispersal algorithm is applied to obtain a transposed data segment, and, in step 408 the transposition cipher is reversed to produce a usable data segment.

FIG. 7 depicts the steps required to write data from an access computer or an integrated client to a dispersed data storage system in accordance with a second embodiment of the disclosed invention. In step 702 a write operation is initiated. The initiation of the write operation involves accepting a data string of arbitrary size, and then, if necessary, padding the string to the dispersed data storage system's data segment size. In step 704, data is encrypted using any suitable block cipher, such as those mentioned earlier in this specification. In step 706 a transposition cipher is applied to the encrypted data segment. The use of the transposition cipher will guarantee that no consecutive data will be stored in any slice, and therefore, even if a malicious hacker should compromise the encryption key, she would still have to assemble a number of slices equal to the dispersed data storage system's threshold prior to gaining access to any usable information.

In step 708 the encrypted and transposed data segment is dispersed using a suitable information dispersal algorithm, such as Cauchy-Reed Solomon. The slices are then stored to different nodes of the dispersed data storage system, such as, for example, slice servers in step 710.

FIG. 8 depicts the steps required to read data from a dispersed data storage system in accordance with a second embodiment of the disclosed invention. In step 802 a read operation is initiated. In step 804, a threshold number of data slices are retrieved from the dispersed data storage system, and in step 806 a reverse information dispersal algorithm is applied to obtain a transposed encrypted data segment. In step 808 the transposition cipher is reversed to produce an encrypted data segment, and in step 810 decryption is applied to produce a usable data segment.

FIG. 9 depicts the steps required to write data to a dispersed data storage system in accordance with a third embodiment of the disclosed invention. In step 904, an all-nothing-transformation is applied to a data segment to be stored, thereby producing an all-or-nothing encrypted data segment. The all-or-nothing transformation could be that described earlier in this document, or some other all-or-nothing transformation. In step 906 an information dispersal algorithm is applied to the all-or-nothing encrypted data segment to produce a plurality of data slices, and in step 908, the plurality of data slices is stored to a plurality of storage nodes.

FIG. 10 depicts the steps required to read data from a dispersed data storage system in accordance with a third embodiment of the disclosed invention. In step 1004, a plurality of data slices corresponding to a stored data segment is retrieved from a plurality of storage nodes, and a reverse information dispersal algorithm is applied in step 1006. In step 1008, the all-or-nothing transformation is removed by using, for example, the method described earlier in this document, or some other method appropriate to the all-or-nothing transformation to be removed.

FIG. 11 depicts the steps required to write data from a dispersed data storage system in accordance with a fourth embodiment of the disclosed invention. In step 1104, a data segment to be stored is encrypted using a block cipher, such as AES, RC4, or any of the block ciphers discussed earlier in this document, thereby producing an encrypted data segment. In step 1106, an all-nothing-transformation is applied to the encrypted data segment to, thereby producing an all-or-nothing encrypted data segment. The all-or-nothing transformation could be that described earlier in this document, or some other all-or-nothing transformation. In step 1108, an information dispersal algorithm is applied to the all-or-nothing encrypted data segment, producing a plurality of data slices, which are stored to a plurality of storage nodes in step 1110. FIG. 12 depicts the steps required to read data from a dispersed data storage system in accordance with a fourth embodiment of the disclosed invention. In step 1204, a plurality of data slices corresponding to a stored data segment is retrieved from a plurality of storage nodes. In step 1206, a reverse information dispersal algorithm is applied, and in step 1208, the all-or-nothing transformation is removed by using, for example, the method described earlier in this document or another appropriate method. Finally, in step 1210, the read data segment is decrypted.

The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or to limit the invention to the precise form disclosed. The description was selected to best explain the principles of the invention and practical application of these principles to enable others skilled in the art to best utilize the invention in various embodiments and various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention not be limited by the specification, but be defined by the claims set forth below. 

1. A method operating on a computer, the method comprises: generating a read command to read at least some of a plurality of data slices from a dispersed storage network; receiving the at least some of the plurality of data slices; performing a reverse information dispersal algorithm on at least some of the plurality of data slices to produce a plurality of transposed data elements; and reverse transposing the plurality of transposed data elements to recover data elements of a data segment.
 2. The method of claim 1 further comprises: performing the reverse information dispersal algorithm on a row by row basis of a j rows by k columns matrix of the plurality of transposed data elements; and re-arranging the plurality of transposed data elements of the j rows by k columns matrix to produce the data elements.
 3. The method of claim 1 further comprises: decrypting the data segment to produce decrypted data segments.
 4. The method of claim 3 wherein the decrypting utilizes an encryption algorithm selected from the group of a 3-way algorithm, an AES algorithm, an Anubis algorithm, a Blowfish algorithm, a BMGL algorithm, a CAST algorithm, a CRYPTON algorithm, a CS-Cipher algorithm, a DEAL algorithm, a DES algorithm, a DESede algorithm, a DESX algorithm, a DFC algorithm, a DFCv2 algorithm, a Diamond2 algorithm, an E2 algorithm, a FROG algorithm, a GOST algorithm, a HPC-1 algorithm, a HPC-2 algorithm, an ICE algorithm, an IDEA algorithm, an ISAAC algorithm, a JEROBOAM algorithm, a LEVIATHAN algorithm, a LOKI91 algorithm, a LOKI97 algorithm, a MAGENTA algorithm, a MARS algorithm, a MDC algorithm, a MISTY1 algorithm, a MISTY2 algorithm, a Noekeon algorithm, a Noekeon Direct algorithm, a Panama algorithm, a Rainbow algorithm, a RC2 algorithm, a RC4 algorithm, a RC4-drop algorithm, a RC5 algorithm, a Rijndael algorithm, a SAFER-K algorithm, a SAFER-SK algorithm, a SAFER+ algorithm, a SAFER++ algorithm, a SAFER++-64 algorithm, a Sapphire-II algorithm, a Scream algorithm, a Scream-F algorithm, a SEAL-3.0 algorithm, a Serpent algorithm, a SHARK algorithm, a SKIPJACK algorithm, a SNOW algorithm, a SOBER algorithm, a SPEED algorithm, a Square algorithm, a TEA algorithm, a Twofish algorithm, a WAKE-CFB algorithm, a WiderWake4+1 algorithm, a WiderWake4+3 algorithm, a PBE-PKCS5 algorithm, and a PBE-PKCS12 algorithm.
 5. A method operating on a computer and comprising the steps of: generating a read command to read at least some of a plurality of data slices from a dispersed storage network; de-slicing the at least some of the plurality of data slices using a reverse information dispersal algorithm to produce an all-or-nothing encrypted data segment; and applying a reverse all-or-nothing transformation on the all-or-nothing encrypted data segment to recover a data segment.
 6. The method of claim 5 wherein the applying the reverse all-or-nothing transformation comprises the steps of: de-packaging an obfuscated encryption key and an encrypted data segment from an all-or-nothing encrypted data segment; calculating a digest corresponding to said encrypted data segment; de-obfuscating the obfuscated encryption key by exclusive-ORing the obfuscated encryption key and the digest to produce an encryption key; and decrypting the encrypted data segment based on the encryption key to produce the data segment.
 7. The method of claim 5 further comprises decrypting the all-or-nothing encrypted data segment using a first block cipher prior to the applying the reverse all-or-nothing transformation.
 8. A computer comprising: a network port adapted to couple with a network and receive at least some of a plurality of data slices; and a processor coupled to said network port wherein said processor: receives the at least some of the plurality of data slices from the network port; performs a reverse information dispersal algorithm on at least some of the plurality of data slices to produce a plurality of transposed data elements; and reverse transposes the plurality of transposed data elements to recover data elements of a data segment.
 9. The computer of claim 8, wherein the processor further functions to: perform the reverse information dispersal algorithm on a row by row basis of a j rows by k columns matrix of the plurality of transposed data elements; and re-arrange the plurality of transposed data elements of the j rows by k columns matrix to produce the data elements.
 10. The computer of claim 8, wherein the processor further functions to decrypt the data segment to produce a decrypted data segment.
 11. A computer comprising: a network port adapted to couple with a network and receive at least some of a plurality of data slices; and a processor coupled to said network port wherein said processor: receives the at least some of a plurality of data slices from the network port; de-slices the at least some of the plurality of data slices using a reverse information dispersal algorithm to produce an all-or-nothing encrypted data segment; and applies a reverse all-or-nothing transformation on the all-or-nothing encrypted data segment to recover a data segment.
 12. The computer of claim 11, wherein the processor further functions to apply the reverse all-or-nothing transformation by: de-packages an obfuscated encryption key and an encrypted data segment from the all-or-nothing encrypted data segment; calculates a digest corresponding to said encrypted data segment; de-obfuscates the obfuscated encryption key by exclusive-ORing the obfuscated encryption key and the digest to produce an encryption key; and decrypts the encrypted data segment based on the encryption key to produce the data segment. 